Exponential periodicity of neural networks with delays

Changyin Sun; Changgui Sun; Chun Bo Feng

Exponential periodicity of neural networks with delays

Changyin Sun
, Changgui Sun
, Chun Bo Feng

Southeast University, Nanjing
Nanjing University of Science and Technology

科研成果: 期刊稿件 › 会议文章 › 同行评审

4 引用（Scopus）

摘要

In this paper, exponential periodicity of neural networks with delays is proposed. Without assuming the boundedness, monotonicity and differentiability of the activation functions, some new sufficient conditions ensuring existence and uniqueness of periodic solution for a general class of neural networks with delays are obtained. This work gives some improvements to the previous ones.

源语言	英语
页（从-至）	V681-V684
期刊	Proceedings - IEEE International Symposium on Circuits and Systems
卷	5
出版状态	已出版 - 2003
已对外发布	是
活动	Proceedings of the 2003 IEEE International Symposium on Circuits and Systems - Bangkok, 泰国期限: 25 5月 2003 → 28 5月 2003

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title = "Exponential periodicity of neural networks with delays",

abstract = "In this paper, exponential periodicity of neural networks with delays is proposed. Without assuming the boundedness, monotonicity and differentiability of the activation functions, some new sufficient conditions ensuring existence and uniqueness of periodic solution for a general class of neural networks with delays are obtained. This work gives some improvements to the previous ones.",

author = "Changyin Sun and Changgui Sun and Feng, \{Chun Bo\}",

year = "2003",

language = "英语",

volume = "5",

pages = "V681--V684",

journal = "Proceedings - IEEE International Symposium on Circuits and Systems",

issn = "0271-4310",

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note = "Proceedings of the 2003 IEEE International Symposium on Circuits and Systems ; Conference date: 25-05-2003 Through 28-05-2003",

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TY - JOUR

T1 - Exponential periodicity of neural networks with delays

AU - Sun, Changyin

AU - Sun, Changgui

AU - Feng, Chun Bo

PY - 2003

Y1 - 2003

N2 - In this paper, exponential periodicity of neural networks with delays is proposed. Without assuming the boundedness, monotonicity and differentiability of the activation functions, some new sufficient conditions ensuring existence and uniqueness of periodic solution for a general class of neural networks with delays are obtained. This work gives some improvements to the previous ones.

AB - In this paper, exponential periodicity of neural networks with delays is proposed. Without assuming the boundedness, monotonicity and differentiability of the activation functions, some new sufficient conditions ensuring existence and uniqueness of periodic solution for a general class of neural networks with delays are obtained. This work gives some improvements to the previous ones.

UR - https://www.scopus.com/pages/publications/0037743795

M3 - 会议文章

AN - SCOPUS:0037743795

SN - 0271-4310

VL - 5

SP - V681-V684

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

T2 - Proceedings of the 2003 IEEE International Symposium on Circuits and Systems

Y2 - 25 May 2003 through 28 May 2003

ER -

Exponential periodicity of neural networks with delays

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